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New AI-Powered Malware Steals Personal Data and Ranks Victims by Financial Worth

The malware compiles stolen data into dossiers and uses large language models to rank victims by value, researchers said.

  • Cisco Talos researchers identified a new infostealer, dubbed 'Volta-Autodoxer,' that integrates LLM capabilities to automatically profile victims and surface high-value targets for attackers.
  • Infostealers typically harvest credentials like passwords and cookies from infected machines, but Volta expands this by analyzing personal data from Gmail to build detailed victim profiles.
  • The malware extracts receipts and order history from services like UberEats and DoorDash, feeding findings into LLMs like Anthropic's Claude Opus 4.6 for structured analysis.
  • To evade guardrails, Volta includes fallbacks to the Chinese open-weight Moonshot Kimi and Google's Gemini 2.5 Flash, ensuring uninterrupted dossier creation.
  • Talos flagged this tool using its new CAIRN framework, highlighting how hackers increasingly use LLMs to augment malware following years of credential-theft breaches at companies like Disney.
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Cisco Talos' security company detected the emergence of a new malignant data collection software capable of using anthropic and Google models despite the constraints placed on them. How is that possible?

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Wired broke the news in San Francisco, United States on Saturday, October 31, 2026.
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